Computer Science
2 years ago

New Selection Method Breaks Curse of Dimensionality in Optimization Algorithms

2022 IEEE Congress on Evolutionary Computation (CEC)
Using Average-Fitness Based Selection to Combat the Curse of Dimensionality
Stephen Chen, Antonio Bolufé-Röhler, James Montgomery, Wenxuan Zhang, Tim Hendtlass

Paper Summary

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The article discusses how search algorithms struggle as the number of dimensions increases, known as "The Curse of Dimensionality". Researchers introduced Average-Fitness Based Selection to improve search accuracy. Results show that this method reduces errors more effectively as dimensionality increases.